GE Healthcare is partnering with brain imaging software developer CorTechs Labs to combine its MRI technology with CorTechs Labs' NeuroQuant postprocessing application.
NeuroQuant has been cleared by the U.S. Food and Drug Administration (FDA) for acquiring volumetric brain image data and automatically measuring cortical and subcortical volumes to identify evidence of neurodegeneration.
GE has also introduced SpinLab, a hyperpolarizing system designed to visualize metabolic activity at the cellular level using MRI. SpinLab was developed by Research Circle Technology (RCT), which GE launched in 2011 to design technology in collaboration with scientists.
SpinLab can be used to noninvasively study biochemical changes in disease processes and improves the sensitivity of MRI by more than 20,000-fold, according to the company. With SpinLab, researchers can study the real-time metabolism of disease through visual information about flow, perfusion, metabolism, and organ and cell viability in living creatures.
The announcements were made in Milan at the joint meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) and the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB).
![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
